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Basic Direction

1. one variable classify. Simply, find the point to separate into two groups. List up all available characteristics.
2. several variables linear classify
  a. generate all patterns by combinations(1 to 20) 
  b. in each pattern, find border by linear SVM
  c. in each pat, check it can classify 100%.
3. several variables non-linear classify
  d. use non-linear SVM instead of linear one
  
```
w = clf.coef_
b = clf.intercept_
w.dot(x) + b = 0 
the function above is border.
```